The Impact of AI Powered Learning Platforms on Student Motivation and Academic Self-Efficacy: A Psychological Perspective

Abstract

This study was to examine the impact of employing Artificial Intelligence (AI) on academic motivation and affective state of a Pakistani student in the tertiary learning institutions in Pakistan. Adoption of a quantitative research design, it was found that data would be collected basing on a sample size of 300 undergraduate and postgraduate students in the private and the public universities. Each of the respondents was familiar with using AI-based education systems. The stratification random sampling resulted in this fashion so as to reflect the different demographics. Data were analyzed using Pearson correlation, regression analysis and independent samples t-test. Due to the result, a strong positive statistical relationship was found between the use of AI and academic motivation, as high users of AI demonstrated increased motivation in their academic pursuits. Regression analysis also indicated that, AI application emerged to be a far that was capable of predicting academic motivation. In addition to that, the t-test showed that an indication of the emotional well-being had a difference in sign when comparing the use of the AI tools frequently or rarely and the duration of using them also proved a better emotional outcome when used more frequently. The results validate the use of AI in university education as a way to make the learning experience more engaging and beneficial to the mind. The study recommends further educating, institution-based support, and proper use of AI instruments in the classrooms. This was followed by assuring that it was voluntary, confidential as well as protection of data. It correlates with much of the past research that has addressed the beneficial side of technology in education. It provides the advancement of knowledge on AI in education, and it will also give viable recommendations on how it will improve in the future.